Searching for Content by Key-Authors on Online Social Networks
    1.
    发明申请
    Searching for Content by Key-Authors on Online Social Networks 审中-公开
    在线社交网络中的关键作者搜索内容

    公开(公告)号:US20160147893A1

    公开(公告)日:2016-05-26

    申请号:US14554190

    申请日:2014-11-26

    Applicant: Facebook, Inc.

    CPC classification number: G06F16/9535 G06Q50/01

    Abstract: In one embodiment, a method includes receiving, from a client device of a first user of an online social network, a search query associated with a first topic. The method also includes identifying one or more key-authors associated with the first topic. The method further includes retrieving multiple objects of the online social network matching the search query, where one or more of the retrieved objects are associated with the first topic and are authored by at least one of the identified key-authors. The method also includes generating multiple search-results modules, each search-result module including references to one or more of the retrieved objects. At least one of the search-results modules is a key-authors-module that includes references to one or more of the retrieved objects associated with the first topic that are authored by at least one of the identified key-authors.

    Abstract translation: 在一个实施例中,一种方法包括从客户端设备接收在线社交网络的第一用户与第一主题相关联的搜索查询。 该方法还包括识别与第一主题相关联的一个或多个关键作者。 该方法还包括检索匹配搜索查询的在线社交网络的多个对象,其中一个或多个检索到的对象与第一主题相关联,并且由至少一个所识别的密钥作者创作。 该方法还包括生成多个搜索结果模块,每个搜索结果模块包括对一个或多个检索对象的引用。 至少一个搜索结果模块是关键作者模块,其包括对由至少一个所识别的关键作者创作的与第一主题相关联的一个或多个检索到的对象的引用。

    Rewriting search queries on online social networks
    2.
    发明授权
    Rewriting search queries on online social networks 有权
    重写在线社交网络上的搜索查询

    公开(公告)号:US09514230B2

    公开(公告)日:2016-12-06

    申请号:US13954719

    申请日:2013-07-30

    Applicant: Facebook, Inc.

    CPC classification number: G06F17/30457 G06F17/30 G06F17/30867 G06F17/30958

    Abstract: In one embodiment, a method includes accessing a set of queries of an online social network received from one or more users of the online social network, parsing each query using a parsing algorithm to generate a query command based on each query, each query command comprising one or more query constraints for a specified number of objects of a specified object-type as specified by parsing-configuration parameters of the parsing algorithm, retrieving the specified number of objects that match at least a portion of the query constraint from one or more data stores associated with the online social network, scoring each retrieved object based on a scoring algorithm, and generating one or more revised parsing-configuration parameters based on a comparison of the scores of the retrieved objects and the specified number of objects of the query constraints.

    Abstract translation: 在一个实施例中,一种方法包括访问从在线社交网络的一个或多个用户接收的在线社交网络的一组查询,使用解析算法解析每个查询以基于每个查询生成查询命令,每个查询命令包括 通过解析算法的解析配置参数指定的指定对象类型的指定数量的对象的一个​​或多个查询约束,从一个或多个数据中检索与查询约束的至少一部分匹配的指定数量的对象 与在线社交网络相关联的商店,基于评分算法对每个检索到的对象进行评分,并且基于所检索对象的分数与查询约束的指定数量的对象的比较来生成一个或多个修订的解析配置参数。

    Rewriting Search Queries on Online Social Networks
    3.
    发明申请
    Rewriting Search Queries on Online Social Networks 有权
    重写在线社交网络的搜索查询

    公开(公告)号:US20150039597A1

    公开(公告)日:2015-02-05

    申请号:US13954719

    申请日:2013-07-30

    Applicant: Facebook, Inc.

    CPC classification number: G06F17/30457 G06F17/30 G06F17/30867 G06F17/30958

    Abstract: In one embodiment, a method includes accessing a set of queries of an online social network received from one or more users of the online social network, parsing each query using a parsing algorithm to generate a query command based on each query, each query command comprising one or more query constraints for a specified number of objects of a specified object-type as specified by parsing-configuration parameters of the parsing algorithm, retrieving the specified number of objects that match at least a portion of the query constraint from one or more data stores associated with the online social network, scoring each retrieved object based on a scoring algorithm, and generating one or more revised parsing-configuration parameters based on a comparison of the scores of the retrieved objects and the specified number of objects of the query constraints.

    Abstract translation: 在一个实施例中,一种方法包括访问从在线社交网络的一个或多个用户接收的在线社交网络的一组查询,使用解析算法解析每个查询以基于每个查询生成查询命令,每个查询命令包括 通过解析算法的解析配置参数指定的指定对象类型的指定数量的对象的一个​​或多个查询约束,从一个或多个数据中检索与查询约束的至少一部分匹配的指定数量的对象 与在线社交网络相关联的商店,基于评分算法对每个检索到的对象进行评分,并且基于所检索对象的分数与查询约束的指定数量的对象的比较来生成一个或多个修订的解析配置参数。

    Generating news headlines on online social networks

    公开(公告)号:US10650009B2

    公开(公告)日:2020-05-12

    申请号:US15359431

    申请日:2016-11-22

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes identifying a trending topic on an online social network, accessing a plurality of content objects posted to the online social network, wherein each content object is associated with the trending topic, and categorizing each content object into clusters based on a natural-language analysis of the content objects. The method may further include calculating a quality score for each cluster, wherein the quality score for each cluster is based at least on a measure of recency of one or more publication dates of the content objects within the cluster, select the cluster with the highest quality score as a trending cluster, and generating a trending-topic interface that includes a headline and description of the trending topic, wherein the headline and description are extracted from one or more of the content objects within the trending cluster.

    Selecting user posts related to trending topics on online social networks

    公开(公告)号:US10535106B2

    公开(公告)日:2020-01-14

    申请号:US15392362

    申请日:2016-12-28

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes receiving a query associated with a trending topic selected by a user of an online social network from multiple trending topics and rewriting the query into a query command including multiple query constraints. The method also includes identifying one or more posts matching the query command, where each identified post has privacy settings making the post visible to all users of the online social network, and calculating, for each of the identified posts, a score for the post based on one or more post-quality features, where the score is calculated using a machine-learning model that assigns a particular weight to each of the one or more post-quality features. The method also includes sending to the user a commentary module including at least a portion of each of one or more of the identified posts having scores higher than a threshold score.

    LIVE-CONVERSATION MODULES ON ONLINE SOCIAL NETWORKS
    6.
    发明申请
    LIVE-CONVERSATION MODULES ON ONLINE SOCIAL NETWORKS 审中-公开
    在线社交网络的实时对话模块

    公开(公告)号:US20160314113A1

    公开(公告)日:2016-10-27

    申请号:US14695540

    申请日:2015-04-24

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes accessing one or more posts of an online social network; extracting n-grams from each post; determining, for each post, whether it is associated with a trending topic based on whether one or more of the extracted n-grams are associated with the trending topic; caching each post determined to be associated with the trending topic in a corresponding conversation cache; calculating a quality-score for each cached post; and generating a live-conversation module comprising one or more of the cached posts having a quality-score above a threshold quality-score.

    Abstract translation: 在一个实施例中,一种方法包括访问在线社交网络中的一个或多个帖子; 从每个帖子中提取n-gram; 基于所提取的n-gram中的一个或多个是否与所述趋势主题相关联,为每个帖子确定它是否与趋势主题相关联; 缓存在相应的对话高速缓存中确定与趋势主题相关联的每个帖子; 计算每个缓存的帖子的质量得分; 以及生成包括一个或多个具有高于阈值质量得分的质量得分的缓存帖子的直播对话模块。

    Searching for content by key-authors on online social networks

    公开(公告)号:US10409873B2

    公开(公告)日:2019-09-10

    申请号:US14554190

    申请日:2014-11-26

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes receiving, from a client device of a first user of an online social network, a search query associated with a first topic. The method also includes identifying one or more key-authors associated with the first topic. The method further includes retrieving multiple objects of the online social network matching the search query, where one or more of the retrieved objects are associated with the first topic and are authored by at least one of the identified key-authors. The method also includes generating multiple search-results modules, each search-result module including references to one or more of the retrieved objects. At least one of the search-results modules is a key-authors-module that includes references to one or more of the retrieved objects associated with the first topic that are authored by at least one of the identified key-authors.

    Vital Author Snippets on Online Social Networks

    公开(公告)号:US20180268063A1

    公开(公告)日:2018-09-20

    申请号:US15459678

    申请日:2017-03-15

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes receiving a text query from a client system of a user and parsing the text query to identify a primary entity referenced in the text query. The method also includes identifying one or more related entities for the primary entity based on one or more related-entity indexes associated with the primary entity and identifying one or more content objects matching the text query, each identified content object being associated with one or more of the related entities. The method also includes sending to the client system instructions for presenting one or more search results corresponding to one or more of the identified content objects, respectively, each search result including a reference to the associated related entity and a snippet for the related entity describing the relationship between the primary entity and the related entity.

    Ranking External Content Using Social Signals on Online Social Networks
    9.
    发明申请
    Ranking External Content Using Social Signals on Online Social Networks 审中-公开
    使用社交信号在线社交网络排名外部内容

    公开(公告)号:US20160259790A1

    公开(公告)日:2016-09-08

    申请号:US14640461

    申请日:2015-03-06

    Applicant: Facebook, Inc.

    CPC classification number: G06F16/24578 G06F16/9535

    Abstract: In one embodiment, a method includes receiving a query to search for posts of the online social network; searching an index to identify one or more posts of the online social network that match the query, each post linking to an external object hosted by a third-party system, wherein the index includes a counter that records a number of social signals associated with each external object within the online social network; scoring each of the identified posts based at least in part on the counter associated with the external object linked to the post; and sending, to the client system of the first user, a search-results page including one or more search results, each search result including a reference to an identified post having a score greater than a threshold score.

    Abstract translation: 在一个实施例中,一种方法包括接收查询以搜索在线社交网络的帖子; 搜索索引以识别与查询匹配的在线社交网络的一个或多个帖子,每个帖子链接到由第三方系统托管的外部对象,其中所述索引包括记录与每个相关联的多个社交信号的计数器 在线社交网络中的外部对象; 至少部分地基于与与该职位相关联的外部对象相关联的计数器来对每个所识别的职位进行评分; 以及向所述第一用户的客户系统发送包括一个或多个搜索结果的搜索结果页面,每个搜索结果包括对具有得分大于阈值分数的识别帖子的引用。

    Rewriting search queries on online social networks

    公开(公告)号:US10324928B2

    公开(公告)日:2019-06-18

    申请号:US15337452

    申请日:2016-10-28

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes accessing a data set including a list of objects matching a query command and a score for each of the listed objects, where the query command is generated by parsing a query using a parsing algorithm, and where the score for each of the listed objects is calculated based on a scoring algorithm. The method also includes generating multiple subsets of the data set, each subset including one or more of the listed objects, and calculating, for each subset, a measure of score-quality associated with the scores of the objects in the subset and a measure of CPU-power associated with an amount of processing power required for retrieving the objects in the subset. The method also includes revising the parsing algorithm based on a comparison of the measures of score-quality and the measures of CPU-power associated with one or more of the subsets.

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